Copertina

Hyrax: An Extensible Framework for Rapid ML Experimentation and Unsupervised Discovery in the Era of Rubin, Roman, and Euclid

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ghosh, Aritra, Oldag, Drew, Tauraso, Michael, Connolly, Andrew J., Ferguson, Peter, Jones, Derek, Khullar, Gourav, Sasli, Argyro, Venkatesh, Samarth, Wang, Gracia, West, Maxine, Berry, Dylan, Caplar, Neven, Chandler, Colin Orion, Chatchadanoraset, Tanawan, Coughlin, Michael W., DeLucchi, Melissa, Junell, Alexandra, Miura, Diego, Nunes, Felipe Fontinele, Beebe, Wilson, Branton, Doug, Campos, Sandro, Cunningham, Liam, Dai, Mi, Kubica, Jeremy, Malanchev, Konstantin, Mandelbaum, Rachel, McGuire, Sean, Pasha, Imad, Taranu, Dan S., Zhang, Tianqing
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Earth and Planetary Astrophysics Astrophysics of Galaxies Machine Learning
Accesso online:	Acceder al recurso
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Accesso online

https://arxiv.org/abs/2605.18959